Factory MCP

Factory MCP is a hosted Model Context Protocol (MCP) server that connects coding agents to your Warp Factories. With it, the agent you already work with, in Warp or in any MCP-capable tool, can send work to a factory, pick up a factory task to continue locally, and hand the finished work back.

The factory keeps a single record of each task throughout. Whether a change happens in the cloud or on your machine, it lands on the same task with the same history and conversation.

What you can use it for

• Send work in - Turn anything from your local session into a factory task: a bug you found, review feedback, or a half-finished change.
• Continue a task locally - Pull a task’s context into your own checkout, work with your own tools, and return the result to the same task.
• Stay in sync - List and search tasks, read a task’s conversation, and message its foreman, the agent that orchestrates each task inside the factory.
• Create a factory - Set up a new factory when you know the team, repositories, and source-control details.

Factory MCP is one of several ways work enters a factory, alongside Slack, Linear, and GitHub. See connect your factory for all intake paths and how Warp Factories work for how tasks move through a factory.

Connect and authenticate

In Warp, there is nothing to configure. When your account has access, Warp connects agent sessions to Factory MCP and handles authentication for you.

In other MCP clients, such as Claude Code, Codex, or Cursor, add Factory MCP as a remote MCP server. Get the connection details from Warp or your factory administrator, follow your client’s instructions for adding a remote server, then authenticate with one of these methods:

• Browser OAuth - The client opens a browser so you can sign in and approve the connection. Use this for interactive sessions.
• API key - Clients that support bearer-token authentication accept a Warp API key. Use this for automation, and store the key in the client’s secret storage, never in a repository.

Caution

Factory MCP has no read-only or per-factory scopes: a connected client acts with the full permissions of the account it authenticates as. For unattended automation, create the API key for a least-privilege cloud agent rather than your personal account, since the key inherits that agent’s permissions.

How it works

Factory MCP exposes ten tools that your agent calls on your behalf. You don’t need to learn them to use it: the server publishes its own usage guidance and tool schemas, so agents pick up the correct workflow on their own. Prompts like these are enough:

• “Send this bug to the factory, including my branch.”
• “What’s the status of the checkout-flow task?”
• “Pull down ENG-123 so we can finish it here.”

The rest of this page describes what happens behind those prompts.

Send new work to a factory

To create a task, your agent calls send_task with the target factory, a title, and a note. The note is what the foreman starts from, so a good one states the goal, the relevant context and constraints, and any work already done. The foreman takes it from there and reports progress on the task’s conversation.

If the new task builds on local changes, push the branch or open a pull request first and reference it in the note, so the factory can see that work.

Pick up a task and work on it locally

1. Find the task. Your agent locates it with list_tasks or search_task, or resolves a reference you give it with get_task: a task or run URL, a GitHub pull request, a Slack permalink, a Linear or Jira issue, or a branch name.
2. Pull down the context. Calling get_task with start_working=true returns the task’s status, run history, and suggested Git commands for setting up an isolated worktree in a local clone. Factory MCP never modifies your files; your agent runs the setup itself.
3. Coordinate while you work. message_foreman sends progress, questions, and blockers to the task’s foreman, and get_conversation reads the replies. Messaging keeps the factory informed but doesn’t move the task or hand anything back.
4. Commit and push. Validate the change, then push the branch. The factory can’t see uncommitted or unpushed work.
5. Hand the task back. Your agent calls send_task with the task’s ID, the pushed branch or pull request URL, and a note covering what changed, what was validated, and what remains. The work returns to the same task, and the foreman decides the next step.

Caution

Picking up a task doesn’t claim, lock, or pause it, and the factory may keep running its own work on it in the meantime. Check the task’s active runs and tell the foreman you’re picking it up, so you don’t end up with duplicate changes.

When nothing remains for the factory to do, complete_task closes the task out. Handing work back doesn’t complete a task by itself.

Get notified when a task needs you

Sending work to a factory means you’re no longer watching it. To be notified when a task needs attention or finishes, ask for a notification when sending or returning work: your agent calls list_notification_routes to see the destinations available to you in that factory, such as a Slack DM or a Linear issue, and passes your choice to send_task. Delivery is best-effort, so treat notifications as a convenience rather than a guarantee.

Tool reference

Factory MCP exposes these ten tools. Your MCP client fetches the full input schemas from the server, and tool results include links that open the corresponding task or run in the factory’s control room.

Tool	What it does
list_factories	Lists the factories you can access.
create_factory	Creates a factory for a team, with its repositories and source-control details.
list_tasks	Lists the tasks in one factory, with filters such as creator, stage, and date.
search_task	Searches task titles across all factories you can access.
get_task	Reads a task’s status, run history, and outputs. Accepts a task ID or a reference such as a URL, issue, pull request, or branch. With start_working=true, also returns local setup guidance.
message_foreman	Sends a message to a task’s foreman.
get_conversation	Reads a task’s foreman conversation.
send_task	Creates a new task, or hands work back to an existing one.
list_notification_routes	Lists the notification destinations available to you in a factory.
complete_task	Marks a task complete.

Related pages

• Connect your factory - Every way work can enter a factory, including the Slack, Linear, and GitHub integrations.
• How Warp Factories work - The task lifecycle and the agents that move work through it.
• Warp Factories quickstart - Create a factory and send it its first work item.
• Model Context Protocol in Warp - Configure MCP servers in Warp.
• Handoff between local and cloud agents - Move workspaces and conversations between local and cloud outside a factory.